This map shows the geographic impact of Nicholas Roy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicholas Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Roy more than expected).
This network shows the impact of papers produced by Nicholas Roy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicholas Roy. The network helps show where Nicholas Roy may publish in the future.
Co-authorship network of co-authors of Nicholas Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Roy.
A scholar is included among the top collaborators of Nicholas Roy based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Nicholas Roy. Nicholas Roy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Duvallet, Felix, Jean Oh, Anthony Stentz, et al.. (2015). Inferring Maps and Behaviors from Natural Language Instructions. DSpace@MIT (Massachusetts Institute of Technology).10 indexed citations
7.
Drummond, Tom, et al.. (2015). Monocular image space tracking on a computationally limited MAV.1 indexed citations
Geramifard, Alborz, Finale Doshi, Joshua Redding, Nicholas Roy, & Jonathan P. How. (2011). Online Discovery of Feature Dependencies. International Conference on Machine Learning. 881–888.25 indexed citations
15.
Doshi, Finale, David Wingate, Josh Tenenbaum, & Nicholas Roy. (2011). Infinite Dynamic Bayesian Networks. International Conference on Machine Learning. 913–920.17 indexed citations
16.
Kollar, Thomas, Stefanie Tellex, & Nicholas Roy. (2010). A discriminative model for understanding natural language route directions. DSpace@MIT (Massachusetts Institute of Technology).5 indexed citations
Brunskill, Emma, et al.. (2009). Provably Efficient Learning with Typed Parametric Models. Journal of Machine Learning Research. 10(68). 1955–1988.11 indexed citations
19.
Kollar, Thomas & Nicholas Roy. (2008). Efficient optimization of information-theoretic exploration in SLAM. National Conference on Artificial Intelligence. 1369–1375.30 indexed citations
20.
Doshi, Finale, Joëlle Pineau, & Nicholas Roy. (2008). Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs..6 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.